docs(report): add table of contents

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2026-04-06 19:34:38 +01:00
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\tableofcontents
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\section{Introduction} \section{Introduction}
This project presents the design and implementation of a web-based analytics engine for the exploration and analysis of online discussion data. Built using \textbf{Flask and Pandas}, and supplemented with \textbf{Natural Language Processing} (NLP) techniques, the system provides an API for extracting structural, temporal, linguistic, and emotional insights from social media posts. A React-based frontend delivers interactive visualizations and user controls, the backend architecture implements analytical pipeline for the data, including data parsing, manipulation and analysis. This project presents the design and implementation of a web-based analytics engine for the exploration and analysis of online discussion data. Built using \textbf{Flask and Pandas}, and supplemented with \textbf{Natural Language Processing} (NLP) techniques, the system provides an API for extracting structural, temporal, linguistic, and emotional insights from social media posts. A React-based frontend delivers interactive visualizations and user controls, the backend architecture implements analytical pipeline for the data, including data parsing, manipulation and analysis.